Analytic Representations and Affordances for Productive Multivocality View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Gregory Dyke , Kristine Lund , Daniel D. Suthers , Chris Teplovs

ABSTRACT

This chapter describes and reflects upon the analytic representations used in the analyses presented in this book, and the roles they played in multivocal analysis. As shown in other chapters, multivocality across analyses based on shared datasets can be productive in a variety of ways and for a variety of reasons. From a pragmatic perspective this productivity is also dependent on the ability of analysts to share datasets, perform analyses, inscribe new analytic knowledge into representations and use these representations as a basis for discussion. In this chapter, we examine how representations are used and given meaning in analysis. We catalogue the types of entities and attributes inscribed in representations, the notational systems by which they are encoded, and the kinds of moves that result in the creation of new representations. We then discuss the opportunities for multivocality afforded by the representations present in the different data sections, and discuss the properties desirable in a framework for coordinating analytic representations. We describe instances of representation-based productive multivocality found in this volume, presenting nine strategies for researchers seeking to engage in productive multivocality. This chapter will be of interest to tool designers, but also provide guidance to researchers in reflectively choosing representations (and their affordances for interpretation and manipulation) so as to maximize their ability to engage in productive multivocality. More... »

PAGES

639-658

References to SciGraph publications

  • 2013. Socio-Dynamic Latent Semantic Learner Models in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Learning Fractions Through Folding in an Elementary Face-to-Face Classroom in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Focus-Based Constructive Interaction in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Social Metacognition, Micro-Creativity, and Justifications: Statistical Discourse Analysis of a Mathematics Classroom Conversation in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2006-09. Technology affordances for intersubjective meaning making: A research agenda for CSCL in INTERNATIONAL JOURNAL OF COMPUTER-SUPPORTED COLLABORATIVE LEARNING
  • 2003. Toward an Anthropology of Graphing, Semiotic and Activity-Theoretic Perspectives in NONE
  • 2013. Gaining Insights from Sociolinguistic Style Analysis for Redesign of Conversational Agent Based Support for Collaborative Learning in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2010-03. A framework for conceptualizing, representing, and analyzing distributed interaction in INTERNATIONAL JOURNAL OF COMPUTER-SUPPORTED COLLABORATIVE LEARNING
  • 2013. Statistical Discourse Analysis of an Online Discussion: Cognition and Social Metacognition in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Exploring Pivotal Moments in Students’ Knowledge Building Progress Using Participation and Discourse Marker Indicators as Heuristic Guides in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Development of Group Understanding via the Construction of Physical and Technological Artifacts in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Online Graduate Education Course Using Knowledge Forum in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Cascading Inscriptions and Practices: Diagramming and Experimentation in the Group Scribbles Classroom in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Conceptual Change and Sustainable Coherency of Concepts Across Modes of Interaction in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Application of Social Network Analysis to Collaborative Problem Solving Discourse: An Attempt to Capture Dynamics of Collective Knowledge Advancement in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. A Multivocal Analysis of the Emergence of Leadership in Chemistry Study Groups in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Network Analytic Techniques for Online Chat in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • 2013. Interaction Analysis of a Biology Chat in PRODUCTIVE MULTIVOCALITY IN THE ANALYSIS OF GROUP INTERACTIONS
  • Book

    TITLE

    Productive Multivocality in the Analysis of Group Interactions

    ISBN

    978-1-4614-8959-7
    978-1-4614-8960-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-1-4614-8960-3_33

    DOI

    http://dx.doi.org/10.1007/978-1-4614-8960-3_33

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1051206136


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information Systems", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Interactions Corpus Apprentissage Repr\u00e9sentations", 
              "id": "https://www.grid.ac/institutes/grid.469454.e", 
              "name": [
                "ICAR Research Lab, CNRS\u2014University of Lyon, 15 parvis Ren\u00e9 Descartes, 69007\u00a0Lyon, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dyke", 
            "givenName": "Gregory", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Interactions Corpus Apprentissage Repr\u00e9sentations", 
              "id": "https://www.grid.ac/institutes/grid.469454.e", 
              "name": [
                "ICAR Research Lab, CNRS\u2014University of Lyon, 15 parvis Ren\u00e9 Descartes, 69007\u00a0Lyon, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lund", 
            "givenName": "Kristine", 
            "id": "sg:person.010656776711.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010656776711.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Hawaii at Manoa", 
              "id": "https://www.grid.ac/institutes/grid.410445.0", 
              "name": [
                "Department of Information and Computer Sciences, University of Hawai\u2018i at Manoa, 1680 East West Road, 309, Honolulu, HI\u00a096822, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Suthers", 
            "givenName": "Daniel D.", 
            "id": "sg:person.015335364353.63", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015335364353.63"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Problemshift Inc., Windsor, ON, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Teplovs", 
            "givenName": "Chris", 
            "id": "sg:person.011036102305.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011036102305.88"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000680761", 
              "https://doi.org/10.1007/978-1-4614-8960-3_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/301153.301168", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002528413"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15327809jls1202_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003748212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0039-3681(90)90018-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004704179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0039-3681(90)90018-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004704179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_23", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005607207", 
              "https://doi.org/10.1007/978-1-4614-8960-3_23"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007182494", 
              "https://doi.org/10.1007/978-1-4614-8960-3_21"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007680570", 
              "https://doi.org/10.1007/978-1-4614-8960-3_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_20", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008451337", 
              "https://doi.org/10.1007/978-1-4614-8960-3_20"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008565062", 
              "https://doi.org/10.1007/978-1-4614-8960-3_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10508400902797966", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009891831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-010-0223-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010154046", 
              "https://doi.org/10.1007/978-94-010-0223-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-010-0223-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010154046", 
              "https://doi.org/10.1007/978-94-010-0223-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010229638", 
              "https://doi.org/10.1007/978-1-4614-8960-3_26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.compedu.2004.10.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013961984"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11412-009-9081-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016047892", 
              "https://doi.org/10.1007/s11412-009-9081-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11412-009-9081-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016047892", 
              "https://doi.org/10.1007/s11412-009-9081-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.compedu.2003.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016525897"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.compedu.2003.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016525897"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022248161", 
              "https://doi.org/10.1007/978-1-4614-8960-3_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025610637", 
              "https://doi.org/10.1007/978-1-4614-8960-3_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15516709cog2102_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029384710"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15516709cog2102_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029384710"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.learninstruc.2006.03.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030333928"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11412-006-9660-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032007761", 
              "https://doi.org/10.1007/s11412-006-9660-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1551-6708.1987.tb00863.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036220165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037140496", 
              "https://doi.org/10.1007/978-1-4614-8960-3_18"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042225650", 
              "https://doi.org/10.1007/978-1-4614-8960-3_13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15326985ep2801_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043415405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15326985ep2801_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043415405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043595196", 
              "https://doi.org/10.1007/978-1-4614-8960-3_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044805097", 
              "https://doi.org/10.1007/978-1-4614-8960-3_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/227181.227185", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044949099"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.compedu.2006.10.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045272941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_29", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045650462", 
              "https://doi.org/10.1007/978-1-4614-8960-3_29"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4614-8960-3_4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046201878", 
              "https://doi.org/10.1007/978-1-4614-8960-3_4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4324/9780203052594", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053573106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15327051hci0903&4_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064221089"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/hicss.1999.772800", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094557509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1599600.1599652", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099206115"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013", 
        "datePublishedReg": "2013-01-01", 
        "description": "This chapter describes and reflects upon the analytic representations used in the analyses presented in this book, and the roles they played in multivocal analysis. As shown in other chapters, multivocality across analyses based on shared datasets can be productive in a variety of ways and for a variety of reasons. From a pragmatic perspective this productivity is also dependent on the ability of analysts to share datasets, perform analyses, inscribe new analytic knowledge into representations and use these representations as a basis for discussion. In this chapter, we examine how representations are used and given meaning in analysis. We catalogue the types of entities and attributes inscribed in representations, the notational systems by which they are encoded, and the kinds of moves that result in the creation of new representations. We then discuss the opportunities for multivocality afforded by the representations present in the different data sections, and discuss the properties desirable in a framework for coordinating analytic representations. We describe instances of representation-based productive multivocality found in this volume, presenting nine strategies for researchers seeking to engage in productive multivocality. This chapter will be of interest to tool designers, but also provide guidance to researchers in reflectively choosing representations (and their affordances for interpretation and manipulation) so as to maximize their ability to engage in productive multivocality.", 
        "editor": [
          {
            "familyName": "Suthers", 
            "givenName": "Daniel D.", 
            "type": "Person"
          }, 
          {
            "familyName": "Lund", 
            "givenName": "Kristine", 
            "type": "Person"
          }, 
          {
            "familyName": "Ros\u00e9", 
            "givenName": "Carolyn Penstein", 
            "type": "Person"
          }, 
          {
            "familyName": "Teplovs", 
            "givenName": "Chris", 
            "type": "Person"
          }, 
          {
            "familyName": "Law", 
            "givenName": "Nancy", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-1-4614-8960-3_33", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-1-4614-8959-7", 
            "978-1-4614-8960-3"
          ], 
          "name": "Productive Multivocality in the Analysis of Group Interactions", 
          "type": "Book"
        }, 
        "name": "Analytic Representations and Affordances for Productive Multivocality", 
        "pagination": "639-658", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-1-4614-8960-3_33"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "f3ed03f153571fbfb738fe1a3d534321971626ab014698b2ce0df5b6f8b7c616"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1051206136"
            ]
          }
        ], 
        "publisher": {
          "location": "Boston, MA", 
          "name": "Springer US", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-1-4614-8960-3_33", 
          "https://app.dimensions.ai/details/publication/pub.1051206136"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T22:58", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000275.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-1-4614-8960-3_33"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8960-3_33'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8960-3_33'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8960-3_33'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8960-3_33'


     

    This table displays all metadata directly associated to this object as RDF triples.

    230 TRIPLES      23 PREDICATES      61 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-1-4614-8960-3_33 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N94cd784e07654109b776e49a874bc957
    4 schema:citation sg:pub.10.1007/978-1-4614-8960-3_12
    5 sg:pub.10.1007/978-1-4614-8960-3_13
    6 sg:pub.10.1007/978-1-4614-8960-3_16
    7 sg:pub.10.1007/978-1-4614-8960-3_17
    8 sg:pub.10.1007/978-1-4614-8960-3_18
    9 sg:pub.10.1007/978-1-4614-8960-3_20
    10 sg:pub.10.1007/978-1-4614-8960-3_21
    11 sg:pub.10.1007/978-1-4614-8960-3_22
    12 sg:pub.10.1007/978-1-4614-8960-3_23
    13 sg:pub.10.1007/978-1-4614-8960-3_26
    14 sg:pub.10.1007/978-1-4614-8960-3_28
    15 sg:pub.10.1007/978-1-4614-8960-3_29
    16 sg:pub.10.1007/978-1-4614-8960-3_4
    17 sg:pub.10.1007/978-1-4614-8960-3_5
    18 sg:pub.10.1007/978-1-4614-8960-3_7
    19 sg:pub.10.1007/978-94-010-0223-3
    20 sg:pub.10.1007/s11412-006-9660-y
    21 sg:pub.10.1007/s11412-009-9081-9
    22 https://doi.org/10.1016/0039-3681(90)90018-4
    23 https://doi.org/10.1016/j.compedu.2003.07.001
    24 https://doi.org/10.1016/j.compedu.2004.10.012
    25 https://doi.org/10.1016/j.compedu.2006.10.007
    26 https://doi.org/10.1016/j.learninstruc.2006.03.001
    27 https://doi.org/10.1080/10508400902797966
    28 https://doi.org/10.1109/hicss.1999.772800
    29 https://doi.org/10.1111/j.1551-6708.1987.tb00863.x
    30 https://doi.org/10.1145/227181.227185
    31 https://doi.org/10.1145/301153.301168
    32 https://doi.org/10.1207/s15326985ep2801_3
    33 https://doi.org/10.1207/s15327051hci0903&4_2
    34 https://doi.org/10.1207/s15327809jls1202_2
    35 https://doi.org/10.1207/s15516709cog2102_3
    36 https://doi.org/10.3115/1599600.1599652
    37 https://doi.org/10.4324/9780203052594
    38 schema:datePublished 2013
    39 schema:datePublishedReg 2013-01-01
    40 schema:description This chapter describes and reflects upon the analytic representations used in the analyses presented in this book, and the roles they played in multivocal analysis. As shown in other chapters, multivocality across analyses based on shared datasets can be productive in a variety of ways and for a variety of reasons. From a pragmatic perspective this productivity is also dependent on the ability of analysts to share datasets, perform analyses, inscribe new analytic knowledge into representations and use these representations as a basis for discussion. In this chapter, we examine how representations are used and given meaning in analysis. We catalogue the types of entities and attributes inscribed in representations, the notational systems by which they are encoded, and the kinds of moves that result in the creation of new representations. We then discuss the opportunities for multivocality afforded by the representations present in the different data sections, and discuss the properties desirable in a framework for coordinating analytic representations. We describe instances of representation-based productive multivocality found in this volume, presenting nine strategies for researchers seeking to engage in productive multivocality. This chapter will be of interest to tool designers, but also provide guidance to researchers in reflectively choosing representations (and their affordances for interpretation and manipulation) so as to maximize their ability to engage in productive multivocality.
    41 schema:editor Nc9bba52b13ce41d69b43376fdd670f4c
    42 schema:genre chapter
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf N4b88bdfcfce44f97b1ce922d375a53d1
    46 schema:name Analytic Representations and Affordances for Productive Multivocality
    47 schema:pagination 639-658
    48 schema:productId N02fca11597dc4daeb301b26884cfb2f9
    49 N10ac286395b84f559423a41caea2aaf6
    50 N9399cf56d36346628e2301bc47cbb6ac
    51 schema:publisher N425d25dbd88f451d8dd9b261dd446770
    52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051206136
    53 https://doi.org/10.1007/978-1-4614-8960-3_33
    54 schema:sdDatePublished 2019-04-15T22:58
    55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    56 schema:sdPublisher Nf60406f5436444c383627fd4061071fa
    57 schema:url http://link.springer.com/10.1007/978-1-4614-8960-3_33
    58 sgo:license sg:explorer/license/
    59 sgo:sdDataset chapters
    60 rdf:type schema:Chapter
    61 N00a3d89befc54695bf9813a7cb6aca17 schema:familyName Law
    62 schema:givenName Nancy
    63 rdf:type schema:Person
    64 N02fca11597dc4daeb301b26884cfb2f9 schema:name readcube_id
    65 schema:value f3ed03f153571fbfb738fe1a3d534321971626ab014698b2ce0df5b6f8b7c616
    66 rdf:type schema:PropertyValue
    67 N0c3633d338564d36ab9b9ac53130032a rdf:first sg:person.010656776711.47
    68 rdf:rest Nd707965e8ccd43f284ce1be75ff5e77a
    69 N10ac286395b84f559423a41caea2aaf6 schema:name doi
    70 schema:value 10.1007/978-1-4614-8960-3_33
    71 rdf:type schema:PropertyValue
    72 N11580d5702314f7eae5b19225fdaf2f8 rdf:first N00a3d89befc54695bf9813a7cb6aca17
    73 rdf:rest rdf:nil
    74 N134e145be6bf4f4ab67dfeabb06375fb schema:familyName Lund
    75 schema:givenName Kristine
    76 rdf:type schema:Person
    77 N1ffb49640c6143a7886c81bc55582a7d rdf:first N9fe92ef622504f618554e5e5806e92af
    78 rdf:rest N11580d5702314f7eae5b19225fdaf2f8
    79 N25696c9f215a407e92710dfd46414a0c schema:familyName Suthers
    80 schema:givenName Daniel D.
    81 rdf:type schema:Person
    82 N3ba6bf760a0243d78b2cbcaa10c4e91e rdf:first Nf3e22aa3669544899bf3ef5cb734a2ed
    83 rdf:rest N1ffb49640c6143a7886c81bc55582a7d
    84 N3e249c6a2d90487ab79d8f5086691f15 schema:name Problemshift Inc., Windsor, ON, Canada
    85 rdf:type schema:Organization
    86 N4055f02cee714ab2b27ac7eea0c7b709 rdf:first sg:person.011036102305.88
    87 rdf:rest rdf:nil
    88 N425d25dbd88f451d8dd9b261dd446770 schema:location Boston, MA
    89 schema:name Springer US
    90 rdf:type schema:Organisation
    91 N4b88bdfcfce44f97b1ce922d375a53d1 schema:isbn 978-1-4614-8959-7
    92 978-1-4614-8960-3
    93 schema:name Productive Multivocality in the Analysis of Group Interactions
    94 rdf:type schema:Book
    95 N92950ac655764ebea7e1c1464b5165f3 rdf:first N134e145be6bf4f4ab67dfeabb06375fb
    96 rdf:rest N3ba6bf760a0243d78b2cbcaa10c4e91e
    97 N9399cf56d36346628e2301bc47cbb6ac schema:name dimensions_id
    98 schema:value pub.1051206136
    99 rdf:type schema:PropertyValue
    100 N94cd784e07654109b776e49a874bc957 rdf:first Ncb103d5d9b3643878c4d48de35c6d3f9
    101 rdf:rest N0c3633d338564d36ab9b9ac53130032a
    102 N9fe92ef622504f618554e5e5806e92af schema:familyName Teplovs
    103 schema:givenName Chris
    104 rdf:type schema:Person
    105 Nc9bba52b13ce41d69b43376fdd670f4c rdf:first N25696c9f215a407e92710dfd46414a0c
    106 rdf:rest N92950ac655764ebea7e1c1464b5165f3
    107 Ncb103d5d9b3643878c4d48de35c6d3f9 schema:affiliation https://www.grid.ac/institutes/grid.469454.e
    108 schema:familyName Dyke
    109 schema:givenName Gregory
    110 rdf:type schema:Person
    111 Nd707965e8ccd43f284ce1be75ff5e77a rdf:first sg:person.015335364353.63
    112 rdf:rest N4055f02cee714ab2b27ac7eea0c7b709
    113 Nf3e22aa3669544899bf3ef5cb734a2ed schema:familyName Rosé
    114 schema:givenName Carolyn Penstein
    115 rdf:type schema:Person
    116 Nf60406f5436444c383627fd4061071fa schema:name Springer Nature - SN SciGraph project
    117 rdf:type schema:Organization
    118 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Information and Computing Sciences
    120 rdf:type schema:DefinedTerm
    121 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Information Systems
    123 rdf:type schema:DefinedTerm
    124 sg:person.010656776711.47 schema:affiliation https://www.grid.ac/institutes/grid.469454.e
    125 schema:familyName Lund
    126 schema:givenName Kristine
    127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010656776711.47
    128 rdf:type schema:Person
    129 sg:person.011036102305.88 schema:affiliation N3e249c6a2d90487ab79d8f5086691f15
    130 schema:familyName Teplovs
    131 schema:givenName Chris
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011036102305.88
    133 rdf:type schema:Person
    134 sg:person.015335364353.63 schema:affiliation https://www.grid.ac/institutes/grid.410445.0
    135 schema:familyName Suthers
    136 schema:givenName Daniel D.
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015335364353.63
    138 rdf:type schema:Person
    139 sg:pub.10.1007/978-1-4614-8960-3_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000680761
    140 https://doi.org/10.1007/978-1-4614-8960-3_12
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/978-1-4614-8960-3_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042225650
    143 https://doi.org/10.1007/978-1-4614-8960-3_13
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/978-1-4614-8960-3_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025610637
    146 https://doi.org/10.1007/978-1-4614-8960-3_16
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/978-1-4614-8960-3_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043595196
    149 https://doi.org/10.1007/978-1-4614-8960-3_17
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/978-1-4614-8960-3_18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037140496
    152 https://doi.org/10.1007/978-1-4614-8960-3_18
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/978-1-4614-8960-3_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008451337
    155 https://doi.org/10.1007/978-1-4614-8960-3_20
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/978-1-4614-8960-3_21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007182494
    158 https://doi.org/10.1007/978-1-4614-8960-3_21
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/978-1-4614-8960-3_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008565062
    161 https://doi.org/10.1007/978-1-4614-8960-3_22
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/978-1-4614-8960-3_23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005607207
    164 https://doi.org/10.1007/978-1-4614-8960-3_23
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/978-1-4614-8960-3_26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010229638
    167 https://doi.org/10.1007/978-1-4614-8960-3_26
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/978-1-4614-8960-3_28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044805097
    170 https://doi.org/10.1007/978-1-4614-8960-3_28
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1007/978-1-4614-8960-3_29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045650462
    173 https://doi.org/10.1007/978-1-4614-8960-3_29
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/978-1-4614-8960-3_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046201878
    176 https://doi.org/10.1007/978-1-4614-8960-3_4
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1007/978-1-4614-8960-3_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007680570
    179 https://doi.org/10.1007/978-1-4614-8960-3_5
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1007/978-1-4614-8960-3_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022248161
    182 https://doi.org/10.1007/978-1-4614-8960-3_7
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1007/978-94-010-0223-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010154046
    185 https://doi.org/10.1007/978-94-010-0223-3
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/s11412-006-9660-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032007761
    188 https://doi.org/10.1007/s11412-006-9660-y
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/s11412-009-9081-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016047892
    191 https://doi.org/10.1007/s11412-009-9081-9
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1016/0039-3681(90)90018-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004704179
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1016/j.compedu.2003.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016525897
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1016/j.compedu.2004.10.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013961984
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1016/j.compedu.2006.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045272941
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1016/j.learninstruc.2006.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030333928
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1080/10508400902797966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009891831
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1109/hicss.1999.772800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094557509
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1111/j.1551-6708.1987.tb00863.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036220165
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1145/227181.227185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044949099
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1145/301153.301168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002528413
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1207/s15326985ep2801_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043415405
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1207/s15327051hci0903&4_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064221089
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1207/s15327809jls1202_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003748212
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1207/s15516709cog2102_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029384710
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.3115/1599600.1599652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099206115
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.4324/9780203052594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053573106
    224 rdf:type schema:CreativeWork
    225 https://www.grid.ac/institutes/grid.410445.0 schema:alternateName University of Hawaii at Manoa
    226 schema:name Department of Information and Computer Sciences, University of Hawai‘i at Manoa, 1680 East West Road, 309, Honolulu, HI 96822, USA
    227 rdf:type schema:Organization
    228 https://www.grid.ac/institutes/grid.469454.e schema:alternateName Interactions Corpus Apprentissage Représentations
    229 schema:name ICAR Research Lab, CNRS—University of Lyon, 15 parvis René Descartes, 69007 Lyon, France
    230 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...